Software Engineer

• Serve as a senior technical authority for complex semiconductor water and wastewater treatment systems
• Provide hands-on technical leadership to global process engineering teams during concept development, pre-contract engineering, detailed design, commissioning, and system optimization
• Guide engineers through technically challenging treatment scenarios and novel applications
• Lead and participate in multidisciplinary technical design reviews
• Support root-cause analysis and resolution of complex process performance issues
• Provide technical support for critical customer discussions
• Perform independent QA/QC reviews of process designs, treatment trains, mass balances, hydraulic calculations, process calculations, equipment sizing, and system configurations
• Review PFDs, P&IDs, GAs, equipment layouts, datasheets, control philosophies, utility requirements, BOMs, and related engineering deliverables
• Identify technical risks and develop mitigation strategies with project teams
• Evaluate and qualify emerging technologies for semiconductor UPW, wastewater treatment, reclaim, and ZLD applications
• Develop and maintain standardized Microelectronics Basis of Design packages and engineering content
• Contribute to Microelectronics engineering design automation and translate engineering methodologies into automated workflows
• Evaluate designs from a total lifecycle perspective, improving water recovery, energy efficiency, chemical efficiency, reliability, maintainability, and operating cost
• Collaborate with global engineering, Technology, Applications Engineering, Operations, Commissioning, Supply Chain, and project teams
• Mentor and technically develop process engineers across the global organization
• Facilitate technical workshops and design reviews
• Capture lessons learned and develop systemic engineering improvements
• Support engineering quality metrics and KPIs
• Maintain awareness of semiconductor manufacturing trends and their impact on treatment requirements

Process Engineering SME – Microelectronics

• Design, develop, enhance, and support SAP BRIM technical solutions across SOM, CI, CC, and FI-CA
• Develop custom enhancements, interfaces, workflows, forms, APIs, and automation solutions for enterprise billing and revenue management
• Translate business and functional requirements into scalable technical solutions
• Support subscription-based and usage-based billing models
• Develop and enhance SAP Subscription Order Management processes and integrations
• Support order capture, contract modifications, fulfillment integrations, and subscription management workflows
• Develop APIs and integrations for order orchestration and provisioning
• Develop and support Convergent Charging configurations, customizations, usage-based billing, rating logic, mediation integration, and pricing and charging frameworks
• Optimize charging performance for high-volume transaction processing
• Develop and support invoicing, billing aggregation, financial posting, invoice generation, formatting, reconciliation, and billing integrations
• Develop and support SAP FI-CA solutions for customer account management, payment processing, collections and dunning, financial postings, dispute management, and account reconciliation
• Support integration with SAP S/4HANA Finance and related enterprise systems
• Develop ABAP programs, BADIs, user exits, enhancements, RFCs, OData services, APIs, and web services
• Support integrations between SAP BRIM, SAP S/4HANA, CRM/CX platforms, middleware, third-party billing, and payment systems
• Collaborate with integration architects and middleware teams on interface development
• Develop and execute unit, integration, system, and user acceptance testing
• Support defect analysis, debugging, troubleshooting, and issue resolution
• Ensure solution quality, scalability, and operational stability
• Analyze and optimize application performance and transaction processing efficiency
• Support monitoring, troubleshooting, incident response, deployments, cutovers, maintenance windows, and production operations
• Create and maintain technical specifications, interface documentation, operational procedures, development standards, and technical runbooks
• Ensure adherence to development standards, security requirements, and governance processes
• Collaborate with architects, functional consultants, data migration teams, BASIS administrators, infrastructure teams, and business stakeholders
• Participate in architecture reviews, technical design sessions, and Agile ceremonies
• Provide technical guidance and knowledge transfer to internal teams

SAP BRIM Developer – SOM, CI, CC, FICA

• Lead the function accountable for data quality and trust across PGS and Enterprise Solutions
• Own movement of data from source systems through consumption, ensuring completeness, accuracy, traceability and fitness for use
• Set objectives and lead design, build and operation of data pipelines and integration estate connecting manufacturing, quality, supply chain and ERP sources
• Own ingestion and integration engineering through MES, historian and enterprise platforms
• Establish and maintain DataOps practices for release, environment, change and version management, and automated deployment
• Own run-state performance, monitoring, incident management, service levels and on-call arrangements
• Lead data quality engineering, including rule definition, enforcement, anomaly detection, remediation and measurement
• Own lineage and evidence from source to consumption and ensure ALCOA+ principles are demonstrably met
• Own technical certification of data products into PGS Trusted Data
• Establish observability across pipelines and data products
• Ensure pipelines and data products meet applicable GxP, data integrity and AI regulatory requirements
• Work with Data Platforms on platform and data-flow boundaries
• Partner with Delivery & Operations Excellence and Domain Data Solution Leads on demand, sequencing and measures
• Represent PGS and Enterprise Solutions requirements in enterprise data, AI/ML, Cyber and OT Security forums
• Build, lead and develop a distributed engineering team across multiple geographies
• Manage partner and contractor capacity
• Represent the function with senior stakeholders across Digital, PGS and the Chief Data Officer organisation

Director, PGS and Enterprise Solutions, Data Management & Engineering

• Develop and execute validation and compliance-related documents and protocols for equipment
• Assist in designing manufacturing processes
• Help manage projects
• Develop facilities
• Validate and revalidate new or modified products, equipment, or systems
• Interface with clients
• Prepare and execute commissioning and qualification documents for utility, facility, and process equipment

Engineering Interview Day

• Translate business requirements into technical solutions for stakeholders.
• Develop and deliver technical solutions to customers on complex projects.
• Collaborate with customers and functional staff to resolve software problems and respond to suggestions for software modifications or enhancements.
• Provide technical guidance to the offshore development team.
• Participate in the design and development of new EBS customizations, enhancements, and interfaces.
• Adhere to Business System processes to ensure sustainable compliance with Sarbanes-Oxley requirements.
• Evaluate and recommend changes to development standards to achieve departmental objectives.

Oracle System Developer

• Provide programming and analytics support for real world evidence generation, including analytics, research, and dashboard creation
• Program and manage real-world healthcare datasets, including healthcare claims data and EMR data
• Perform data cleaning, transformation, and normalization prior to analysis
• Translate raw data into analysis-ready datasets
• Create and maintain data dictionaries and programming documentation
• Support internal research teams with hands-on analyst and programming support
• Contribute to broader analytics efforts as needed

Real World Data Programmer

• Collaborate with company partners to design, configure, maintain, and promote internal and external applications while ensuring accessibility compliance
• Monitor, test, and optimize software for reliability and architectural standards
• Contribute to continuous code delivery using deployment tools and automated testing
• Scale and maintain applications for dynamic teams in a fast-paced environment
• Collaborate with software engineers, product managers, analysts, and stakeholders to deliver customer-focused solutions
• Use GitHub Copilot and other AI-assisted development tools for coding, testing, and debugging, following prompting and code-review standards
• Design and develop Generative AI features such as chat interfaces, document summarization, intelligent search, and automated content generation using Azure OpenAI Service and related APIs
• Build and integrate RAG pipelines with vector databases such as Azure AI Search, Pinecone, and pgvector
• Apply Responsible AI practices, including bias awareness, PII handling, and content-safety review
• Provide operational maintenance, troubleshooting, and support for applicable backend systems
• Work as part of an autonomous agile team

• Define the technical architecture and long-term roadmap for analytics, automation tools, data workflows, and AI/ML development
• Lead and manage the division’s portfolio of engineering analytics and automation tools
• Drive continuous improvement and innovation across engineering systems and capabilities
• Establish and enforce centralized governance for tools, scripts, datasets, and AI/ML models
• Ensure lifecycle management, documentation, version control, and cyber-secure development practices
• Monitor governance adherence, perform audits, and escalate noncompliance
• Own the technical IP lifecycle from concept through protection readiness
• Coordinate with engineering, IT, and Legal on IP technical soundness, completeness, and defensibility
• Evaluate IP and tool productization opportunities and support customer-discovery activities
• Build, develop, and mentor a specialized technical team focused on data science, analytics, automation, and AI/ML
• Manage performance, employee development, hiring, training, and cross-training
• Analyze engineering workflows and perform process mapping to identify automation, data, analytics, and AI/ML opportunities
• Champion solutions that improve efficiency, quality, and engineering decision-making
• Prepare executive-level reports on IP status, technical risks, emerging technologies, and development progress
• Define and track KPIs for tool adoption, portfolio impact, efficiency, quality, commercial readiness, and IP progression
• Maintain partnerships with internal teams, customers, and vendors

Software Engineer jobs in Pennsylvania